{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pytz\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pointdata=pd.read_csv('/data/Public Data/IEEE Data Fusion Contest 2019/DFC2019_track4_trainval/Train-Track4/JAX_079_PC3.txt',sep=',',header=None)   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <td>-258.29</td>\n",
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       "      <td>-1.18</td>\n",
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       "      <td>-1.20</td>\n",
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       "      <th>10</th>\n",
       "      <td>-255.21</td>\n",
       "      <td>-290.87</td>\n",
       "      <td>-1.27</td>\n",
       "      <td>84</td>\n",
       "      <td>1</td>\n",
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       "      <th>11</th>\n",
       "      <td>-254.43</td>\n",
       "      <td>-290.35</td>\n",
       "      <td>-1.24</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-255.18</td>\n",
       "      <td>-289.79</td>\n",
       "      <td>-1.17</td>\n",
       "      <td>90</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-254.39</td>\n",
       "      <td>-289.27</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>90</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-256.25</td>\n",
       "      <td>-288.62</td>\n",
       "      <td>-1.23</td>\n",
       "      <td>98</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-256.21</td>\n",
       "      <td>-287.55</td>\n",
       "      <td>-1.21</td>\n",
       "      <td>79</td>\n",
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       "      <th>16</th>\n",
       "      <td>-255.14</td>\n",
       "      <td>-288.72</td>\n",
       "      <td>-1.21</td>\n",
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       "      <td>1</td>\n",
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       "      <th>17</th>\n",
       "      <td>-254.35</td>\n",
       "      <td>-288.21</td>\n",
       "      <td>-1.23</td>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-255.10</td>\n",
       "      <td>-287.66</td>\n",
       "      <td>-1.21</td>\n",
       "      <td>90</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-258.13</td>\n",
       "      <td>-286.49</td>\n",
       "      <td>-1.19</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-258.09</td>\n",
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       "      <td>-1.17</td>\n",
       "      <td>92</td>\n",
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       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-256.98</td>\n",
       "      <td>-285.96</td>\n",
       "      <td>-1.19</td>\n",
       "      <td>94</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-258.06</td>\n",
       "      <td>-284.36</td>\n",
       "      <td>-1.26</td>\n",
       "      <td>105</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>-258.02</td>\n",
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       "      <td>-1.18</td>\n",
       "      <td>79</td>\n",
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       "      <th>24</th>\n",
       "      <td>-256.94</td>\n",
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       "      <td>-1.20</td>\n",
       "      <td>93</td>\n",
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       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>-256.91</td>\n",
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       "      <td>-1.18</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
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       "      <th>26</th>\n",
       "      <td>-256.17</td>\n",
       "      <td>-286.49</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>59</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>-256.13</td>\n",
       "      <td>-285.42</td>\n",
       "      <td>-1.20</td>\n",
       "      <td>92</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-255.07</td>\n",
       "      <td>-286.59</td>\n",
       "      <td>-1.24</td>\n",
       "      <td>96</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-255.03</td>\n",
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       "      <td>-1.22</td>\n",
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       "      <td>252.70</td>\n",
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       "      <th>454488</th>\n",
       "      <td>253.65</td>\n",
       "      <td>215.26</td>\n",
       "      <td>-1.77</td>\n",
       "      <td>81</td>\n",
       "      <td>1</td>\n",
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       "      <td>250.18</td>\n",
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       "      <td>42</td>\n",
       "      <td>1</td>\n",
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       "      <td>250.59</td>\n",
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       "      <td>249.84</td>\n",
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       "      <td>-1.92</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>250.44</td>\n",
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       "      <td>250.28</td>\n",
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       "      <td>-1.94</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>454498</th>\n",
       "      <td>250.50</td>\n",
       "      <td>219.93</td>\n",
       "      <td>-1.97</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
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       "      <td>249.74</td>\n",
       "      <td>220.29</td>\n",
       "      <td>-1.97</td>\n",
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       "      <td>1</td>\n",
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       "      <td>250.49</td>\n",
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       "      <th>454503</th>\n",
       "      <td>251.95</td>\n",
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       "      <td>58</td>\n",
       "      <td>1</td>\n",
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       "      <th>454504</th>\n",
       "      <td>252.16</td>\n",
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       "      <td>61</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>454505</th>\n",
       "      <td>252.61</td>\n",
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       "      <td>1</td>\n",
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       "      <td>251.90</td>\n",
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       "      <td>252.00</td>\n",
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       "      <td>252.56</td>\n",
       "      <td>218.56</td>\n",
       "      <td>-1.74</td>\n",
       "      <td>75</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>454509</th>\n",
       "      <td>252.21</td>\n",
       "      <td>218.62</td>\n",
       "      <td>-1.64</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>454510</th>\n",
       "      <td>251.85</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>454511</th>\n",
       "      <td>252.05</td>\n",
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       "      <td>-1.84</td>\n",
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       "    <tr>\n",
       "      <th>454512</th>\n",
       "      <td>252.26</td>\n",
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       "      <td>-1.63</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454513</th>\n",
       "      <td>252.51</td>\n",
       "      <td>219.64</td>\n",
       "      <td>-1.76</td>\n",
       "      <td>73</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>454514</th>\n",
       "      <td>251.80</td>\n",
       "      <td>220.39</td>\n",
       "      <td>-1.84</td>\n",
       "      <td>73</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>454515</th>\n",
       "      <td>252.30</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
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       "      <td>252.47</td>\n",
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       "      <td>-1.81</td>\n",
       "      <td>70</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>454517 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             0       1     2    3  4\n",
       "0      -258.29 -290.75 -1.21   95  1\n",
       "1      -258.25 -289.69 -1.18   99  1\n",
       "2      -257.13 -290.23 -1.19   98  1\n",
       "3      -256.33 -290.75 -1.23   96  1\n",
       "4      -257.09 -289.17 -1.21   90  1\n",
       "5      -258.21 -288.62 -1.19  112  1\n",
       "6      -258.17 -287.57 -1.22   54  1\n",
       "7      -257.05 -288.09 -1.20   79  1\n",
       "8      -257.01 -287.02 -1.01    3  1\n",
       "9      -256.29 -289.68 -1.20   95  1\n",
       "10     -255.21 -290.87 -1.27   84  1\n",
       "11     -254.43 -290.35 -1.24   92  1\n",
       "12     -255.18 -289.79 -1.17   90  1\n",
       "13     -254.39 -289.27 -1.20   90  1\n",
       "14     -256.25 -288.62 -1.23   98  1\n",
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       "20     -258.09 -285.42 -1.17   92  1\n",
       "21     -256.98 -285.96 -1.19   94  1\n",
       "22     -258.06 -284.36 -1.26  105  1\n",
       "23     -258.02 -283.30 -1.18   79  1\n",
       "24     -256.94 -284.89 -1.20   93  1\n",
       "25     -256.91 -283.83 -1.18   92  1\n",
       "26     -256.17 -286.49 -1.20   59  1\n",
       "27     -256.13 -285.42 -1.20   92  1\n",
       "28     -255.07 -286.59 -1.24   96  1\n",
       "29     -255.03 -285.53 -1.22   86  1\n",
       "...        ...     ...   ...  ... ..\n",
       "454487  252.70  215.26 -1.77   80  1\n",
       "454488  253.65  215.26 -1.77   81  1\n",
       "454489  250.18  217.73 -2.05   42  1\n",
       "454490  250.59  217.76 -1.92   63  1\n",
       "454491  249.84  218.10 -1.92   44  1\n",
       "454492  250.39  218.22 -1.91   39  1\n",
       "454493  250.23  218.88 -1.95   45  1\n",
       "454494  250.55  218.83 -1.96   48  1\n",
       "454495  249.79  219.20 -1.97   39  1\n",
       "454496  250.44  219.37 -1.84   36  1\n",
       "454497  250.28  220.05 -1.94   35  1\n",
       "454498  250.50  219.93 -1.97   40  1\n",
       "454499  249.74  220.29 -1.97   43  1\n",
       "454500  250.49  220.54 -1.88   34  1\n",
       "454501  250.45  221.01 -2.01   46  1\n",
       "454502  251.95  217.12 -1.73   66  1\n",
       "454503  251.95  217.54 -1.76   58  1\n",
       "454504  252.16  217.46 -1.69   61  1\n",
       "454505  252.61  217.45 -1.80   93  1\n",
       "454506  251.90  218.20 -1.80   68  1\n",
       "454507  252.00  218.74 -1.79   55  1\n",
       "454508  252.56  218.56 -1.74   75  1\n",
       "454509  252.21  218.62 -1.64   62  1\n",
       "454510  251.85  219.30 -1.81   68  1\n",
       "454511  252.05  219.93 -1.84   51  1\n",
       "454512  252.26  219.79 -1.63   58  1\n",
       "454513  252.51  219.64 -1.76   73  1\n",
       "454514  251.80  220.39 -1.84   73  1\n",
       "454515  252.30  220.99 -1.74   63  1\n",
       "454516  252.47  220.72 -1.81   70  1\n",
       "\n",
       "[454517 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pointdata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-258.29, -290.75,   -1.21,   95.  ,    1.  ],\n",
       "       [-258.25, -289.69,   -1.18,   99.  ,    1.  ],\n",
       "       [-257.13, -290.23,   -1.19,   98.  ,    1.  ],\n",
       "       ...,\n",
       "       [ 251.8 ,  220.39,   -1.84,   73.  ,    1.  ],\n",
       "       [ 252.3 ,  220.99,   -1.74,   63.  ,    1.  ],\n",
       "       [ 252.47,  220.72,   -1.81,   70.  ,    1.  ]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pointarr=np.array(pointdata)\n",
    "pointarr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[2],\n",
       "       [2],\n",
       "       [2],\n",
       "       ...,\n",
       "       [2],\n",
       "       [2],\n",
       "       [2]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pointlabel=pd.read_csv('/data/Public Data/IEEE Data Fusion Contest 2019/DFC2019_track4_trainval/Train-Track4/JAX_079_CLS.txt',header=None)\n",
    "pointlabarr=np.array(pointlabel)\n",
    "pointlabarr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5100.0 0.0\n",
      "221.07 -290.93\n",
      "253.68 -258.32\n"
     ]
    }
   ],
   "source": [
    "print(np.max(pointarr[:,3]),np.min(pointarr[:,3]))\n",
    "print(np.max(pointarr[:,1]),np.min(pointarr[:,1]))\n",
    "print(np.max(pointarr[:,0]),np.min(pointarr[:,0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0  2  5  6 17]\n",
      "[ 25548 290862  63835  58836  15436]\n"
     ]
    }
   ],
   "source": [
    "print(np.unique(pointlabarr[:,0]))\n",
    "A=np.bincount(pointlabarr[:,0])\n",
    "B=A[np.bincount(pointlabarr[:,0])>0]\n",
    "print(B)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sigma_wd/anaconda3/envs/pytorch/lib/python3.5/site-packages/matplotlib/axes/_axes.py:6499: MatplotlibDeprecationWarning: \n",
      "The 'normed' kwarg was deprecated in Matplotlib 2.1 and will be removed in 3.1. Use 'density' instead.\n",
      "  alternative=\"'density'\", removal=\"3.1\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 5 artists>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x216 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1,figsize=(15,3))\n",
    "plt.subplot(1,2,1)\n",
    "plt.hist(pointarr[(pointarr[:,3]<150),3], bins=5, normed=0, facecolor=\"cornflowerblue\", edgecolor=\"black\", alpha=0.7)\n",
    "plt.subplot(1,2,2)\n",
    "plt.bar(np.unique(pointlabarr[:,0]),B,facecolor=\"cornflowerblue\", edgecolor=\"black\", alpha=0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f3a9806e6a0>"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(2,figsize=(15,5))\n",
    "plt.subplot(1,3,1)\n",
    "plt.scatter(pointlabarr[(pointarr[:,3]<150),0],pointarr[(pointarr[:,3]<150),3],marker='.',s=0.01)\n",
    "plt.title('Correlation between label & intensity')\n",
    "plt.subplot(1,3,2)\n",
    "plt.scatter(pointlabarr,pointarr[:,4])\n",
    "plt.title('Correlation between label & return number')\n",
    "plt.subplot(1,3,3)\n",
    "plt.scatter(pointlabarr,pointarr[:,2],marker='.',s=0.01)\n",
    "plt.title('Correlation between label & Z')\n",
    "\n",
    "plt.figure(3,figsize=(15,5))\n",
    "plt.subplot(1,3,1)\n",
    "plt.scatter(pointlabarr,pointarr[:,0],marker='.',s=0.01)\n",
    "plt.title('Correlation between label & X')\n",
    "plt.subplot(1,3,2)\n",
    "plt.scatter(pointlabarr,pointarr[:,1],marker='.',s=0.01)\n",
    "plt.title('Correlation between label & Y')\n",
    "plt.subplot(1,3,3)\n",
    "#plt.scatter(pointlabarr,pointarr[:,2],marker='.',s=0.01)\n",
    "#plt.title('Correlation between label & Z')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(454517, 1)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "label2color={0:'black',2:'darkgoldenrod',5:'green',6:'red',9:'water',17:'sliver'}\n",
    "pointlabarr.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sigma_wd/anaconda3/envs/pytorch/lib/python3.5/site-packages/matplotlib/figure.py:98: MatplotlibDeprecationWarning: \n",
      "Adding an axes using the same arguments as a previous axes currently reuses the earlier instance.  In a future version, a new instance will always be created and returned.  Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.\n",
      "  \"Adding an axes using the same arguments as a previous axes \"\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from tqdm import tqdm\n",
    "AAA=range(0,pointlabarr.shape[0])\n",
    "np.random.shuffle(A)\n",
    "plt.figure(2,figsize=(18,5))\n",
    "for i in range(0,10000):\n",
    "    plt.subplot(1,3,1)\n",
    "    plt.scatter(pointarr[AAA[i],0],pointarr[AAA[i],1],c=label2color[pointlabarr[i,0]],s=0.5)\n",
    "    plt.xlabel('X')\n",
    "    plt.ylabel('Y')\n",
    "    plt.subplot(1,3,2)\n",
    "    plt.scatter(pointarr[AAA[i],0],pointarr[AAA[i],2],c=label2color[pointlabarr[i,0]],s=0.5)\n",
    "    plt.xlabel('X')\n",
    "    plt.ylabel('Z')\n",
    "    plt.subplot(1,3,3)\n",
    "    plt.scatter(pointarr[AAA[i],1],pointarr[AAA[i],2],c=label2color[pointlabarr[i,0]],s=0.5)\n",
    "    plt.xlabel('Y')\n",
    "    plt.ylabel('Z')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python (py4torch_tf)",
   "language": "python",
   "name": "pytorch"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.6"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
